October 7th, 2020

Accelerating AI Transformation in Healthcare

RSS icon RSS Category: Business, Community, H2O Driverless AI, Machine Learning

The healthcare industry is evolving rapidly with volumes of data and increasing challenges. Early adopters of AI and machine learning in the healthcare space have embraced new data-driven initiatives and are reaping the benefits not only in terms of patient care but also in their own operations.

Hospitals, physicians, and laboratories can now use patient data and medical records to continuously improve patient outcomes, deliver care without increasing costs, and streamline clinical workflows. By using H2O.ai, a GPU accelerated and open source leader in AI and automatic machine learning, healthcare companies are able to manage claims management, detect fraud, predict hospital-acquired infections, and, most importantly, save more lives.

Responding to COVID-19 with AI

With the global pandemic, healthcare professionals are facing multiple challenges in this fight against COVID-19 including a shortage of essential supplies, as well as staffing requirements per hospital as an example. 

AI models are important to glean insights from data, forecast patterns, and make critical decisions. It helps providers predict when, where, and how much they need to prepare for a sudden increase in demand. H2O.ai has co-innovated with leading healthcare organizations during the pandemic including hospital staff predictions, ICU transfer and triage, and population risk segmentation. Learn more here.

H2O.ai at HLTH with NVIDIA

To foster knowledge advancement in AI and healthcare, we are excited to announce that we will be joining NVIDIA at HLTH, a virtual conference organized by HLTH Foundation, from October 12-16. 

Learn more and register for the event here.

Read a blog by Renee Yao about the latest advancements from NVIDIA in the healthcare industry with AI.  

Leave a Reply

+
Developing and Retaining Data Science Talent

It’s been almost a decade since the Harvard Business Review proclaimed that “Data Scientist” is

May 12, 2022 - by Jon Farland
+
The H2O.ai Wildfire Challenge Winners Blog Series – Team Too Hot Encoder

Note: this is a community blog post by Team Too Hot Encoder - one of

May 10, 2022 - by H2O.ai Team
+
The H2O.ai Wildfire Challenge Winners Blog Series – Team HTB

Note: this is a community blog post by Team HTB - one of the H2O.ai

May 10, 2022 - by H2O.ai Team
+
Bias and Debiasing

An important aspect of practicing machine learning in a responsible manner is understanding how models

April 15, 2022 - by Kim Montgomery
+
Comprehensive Guide to Image Classification using H2O Hydrogen Torch

In this article, we will learn how to build state-of-the-art models in computer vision and

March 29, 2022 - by H2O.ai Team
+
H2O Wave Snippet Plugin for PyCharm

Note: this blog post by Shamil Dilshan Prematunga was first published on Medium. What is PyCham? PyCharm

March 24, 2022 - by Shamil Prematunga

Start Your Free Trial